Abstract:To solve the problem that the accure data can't be pushed by the failure of local sensor in intelligence greenhouse system, it was presented that the Apriori algorithm which was based on association rule applied in the prediction of sensor fault data. Forcasting the greenhouse environment temperature is provided as an example in this paper, firstly, the classic Apriori algorithm is modified. Then it was used in the prediction of fault sensor data. The experimental results show that the improved Apriori algorithem could quickly find the association rule between the parameters in Greenhouse, thus estimated the range of parameters of the fault sensor and the method could be proved to be feasible.